Ordering Policy Using Multi-Level Association Rule Mining

Inthisarticle,aninventorymodelforaretailer’sorderingpolicyisstudied.Multi-levelassociation ruleminingisusedtofindfrequentitem-setsateachlevelbyapplyingdifferentthresholdatdifferent levels.Duringorderquantityestimation,category,content,andbrandoftheitemsareconsidered, whichleadstothediscoveryofmorespecificandconcreteknowledgeoftherequiredorderquantity. Ateachlevel,optimumorderquantityoffrequentitemsisdetermined.Thisassistsinventorymanager toorderoptimalquantityof itemsasper theactualrequirementof theitemwithrespect totheir category,contentandbrand.Anexampleisdevisedtoexplainthenewapproach.Further,tounderstand theeffectofaboveapproachintherealscenario,experimentsareconductedontheexitingdataset. KeywORdS Association Rule Mining, Cross-Selling, Imperfect Quality Items, Multi-Level Association Rule Mining

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